Parallel computer network and method for real time financial resource management, inventory control, and online purchasing

• US 8,239,229 B1
• Filed: 05/12/2010
• Issued: 08/07/2012
• Est. Priority Date: 02/24/2000
• Status: Expired due to Fees

• Current Assignee: Richard Paiz
• Original Assignee: Richard Paiz
• Inventors: Paiz, Richard
• Primary Examiner(s): Wong, Eric T
• Application Number:
  US12/778,228
• Time in Patent Office: 818 Days
• Field of Search: 705/7.11, 705/7.25
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/083 Shipping
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/04 Billing or invoicing
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

A method for simulating the entire superset of potential valid keyword regular expression requests constructed during an Internet browser search and converting the result sets into Environmental summary report to enable efficient and accurate searching without requiring Browser Engine supercomputer cluster searching capabilities.

Claims

1. A computerized system for performing financial resource management, inventory control and online purchasing in real-time, the computers provided in a non-centralized, hierarchically-arranged, multi-tiered computer network and incorporating system software for imparting artificial intelligence to system hardware, the computer network communicatively coupled to a plurality of customer, retailer, supplier and wholesaler online transaction supplier systems, and at least one warehouse for facilitating the logistical distribution of door-to-door goods and services to a customer using a chosen shipping method, each end user interacting with the supplier system server through a computer terminal software application, the computerized system comprising:

a virtual environment that includes a plurality of computers that are networked together to function as a single unit, including at least one parent computer having software that synchronizes and delegates tasks between the plurality of computers, so that the single unit scans and gathers data from the virtual environment, and processes the data into an implementable representation of the data;

the single unit additionally includes at least one dedicated computer for performing a specific task, at least one processing computer for performing a specific task, and at least one processing computer providing processing power to the single unit;

the single unit includes software that outputs the implementable representation of the data in a form of a report to a user computer terminal and waits for a decision from a human user;

the virtual environment defining an online environment that coordinates and manages an entire available inventory of a supplier distribution system, wherein the entire available inventory is arranged in a managerial hierarchy based on geographical territories;

the supplier system comprising at least one physical warehouse having a plurality of time interval based inbound shipments originating from at least one of retailers, wholesalers and suppliers, inventory control of “

in-hand” and

domestic rush freight on board (FOB), and also purchasing forecasted inventory lots based upon demand, economies of scale, historical trends, and storage capacities;

the single unit comprising of at least two tiers, each tier consisting of at least one cluster having at least one parent computer and one child computer working together, wherein the at least one cluster is assigned to a particular geographical layer;

a lower-tier computer cluster comprising a plurality of computers that are configured and arranged within said computer network system configured to perform a regional scope online financial resource management;

a middleware-tier computer cluster comprising a plurality of computers that are hierarchically superior to the lower-tier computer cluster, the middleware-tier computer cluster configured and arranged within the computer network system to perform a continental scope online financial resource management;

a summit-tier computer cluster comprising a plurality of computers that are hierarchically superior to the middleware-tier computer cluster, the summit-tier computer cluster configured and arranged within said computer network system configured to perform a worldwide scope financial resource management,

each lower-tier computer cluster is directly assigned to one respective physical warehouse, each lower-tier computer cluster having software that controls and coordinates the regional scope online financial resource management in real-time;

each middleware-tier computer cluster having software that manages a respective chain of command of the lower-tier computer clusters and controls and coordinates the continental scope online financial resource management in real-time;

each summit-tier computer cluster having software that manages a respective chain of command of lower-tier and middleware-tier computer clusters and controls and coordinates the worldwide scope online financial resource management in real-time;

each computer cluster configured and arranged within the computer network system to enable the control of system user requests and replies, and coordinating and synchronizing financial resource management, inventory control, and online purchasing in real-time and supplying the organization with a summary of all system-processed data, and available inventory;

each computer cluster communicatively enabling system user access to business and personal information in real time and configured to continuously process and filter raw information to better understand what a client values in order to keep the subscriber satisfied;

each computer cluster forward chaining customer satisfaction information to the summit-tier computer clusters to identify what is satisfying to each end user;

each computer cluster configured and arranged within the computer network system to manage and control available inventory for their assigned participating retailers, wholesalers and suppliers, based on a geographic scope;

each computer cluster directly linked to their respectively assigned retailer, wholesaler, and supplier provisioning and inventory system means by forward chaining forecasted end user'"'"'s demand based on known available inventory;

a simulation network artificial intelligence comprising software that makes X_FOB decisions, which measures the FOB price per unit of merchandise being made available through ocean and land transportation means to its physical warehouse originating from participating retailers, wholesalers and suppliers where time is measured in X days dimensions and thus the term X_FOB;

the simulation network artificial intelligence comprising software that makes Y_CDIF decisions, which measures the cargo duties insurance freight (CDIF) P/U of forecasted inventory in hand merchandise through air transportation means and door to door services to the end user and time is measured in Y hours dimensions and thus the term Y_CDIF;

each cluster artificial intelligence storing ‘

the price’

summary reports and pronounced ‘

the price’ and

thus the term Z_PRICE, by using X days dimensions X_FOB calculations and Y hour dimension Y_CDIF calculations based on said inventory control of “

in-hand” and

domestic rush FOB, and also purchasing forecasted inventories lots based on demand, economies of scale, historical trends and storage capacities;

each cluster belonging to the three tier simulation network having the following functionalities;

a) a parser, which is responsible for deleting, inserting, load balancing, replicating and updating data, as well as converting all of the messages into a lingua franca standard and updating all of the 3^rd party inventory means;

b) a storager, which distributes tasks to satisfy quotes and orders providing a lowest cost and minimal time delay to the end user and is responsible for interfacing with the environment and converting all of the information into a lingua franca and assigning it to the correct directory and the appropriate forward and rearward chained updates to the system, the assignment of unique ID, and different distinct transactional element Legs (A, B, T, X, Y, W) and Transactional Owner;

c) wherein partial leg A is responsible for gathering all of the information originating from the assigned participating retailers, wholesalers, and suppliers and creating a summary report analysis and vector trajectory calculations so that the each node belonging to the simulation network can at least one of match and merge partial vector call data record (CDR) information using the X_FOB calculations;

d) wherein partial leg B is responsible for gathering all of the information of each end user purchase order and creates a summary report analysis and vector trajectory calculations so that the each node belonging to the simulation network can at least one of match and merge partial vector CDR information using the Y_CDIF calculations;

e) summit grid node creates geographical scoped calculation using time dimensions, transportation cost, and risk to at least one of match and merge the partial differential vector CDR leg A and leg B equations of a plurality of quotes and orders into complex structures and also permits that each end user request be unique

wherein upon normalizing the X_FOB and Y_CDIF data the system can use available inventory, shipping and handling to find a Z_PRICE for its end users,

each assigned participating retailer, wholesaler and supplier rearward chaining latest available inventories and pricing of merchandise;

the simulation network directly interfacing with financial institutions and using artificial intelligence in order to make purchasing and financial resource management decisions to optimally maintain and replenish available inventory to end users at the lowest possible price per unit (P/U) and with minimal delay of delivery;

each cluster of said simulation network using artificial intelligence in order to make purchasing and financial resource management decisions to optimally maintain and replenish available inventory to end users at the lowest possible P/U and with minimal delay of delivery;

the simulation network having software that calculates the risk and delays associated with the transportation of goods and services from origination to destination points when giving at least one of a quote and invoice order to a customer;

the simulation network allowing subordinate clusters to cooperate and are configured to instantaneously generate, plot and update a lowest price and optimal shipping cost trajectory between two geographic locations for each user request, immediately upon scanning an initial user network message, and storing it in the ‘

price’

summary reports;

the simulation network minimizes bandwidth usage by performing scheduled and synchronized supplier and wholesale inventory availability calculations and updates throughout the network, accurately projecting future resource requirement trends in order to update end user software to avoid system congestion;

the summit-tier and middleware-tier clusters updating all of the system components by rearward chaining summarized information to its chain of command;

the single unit is configured to have multiple links meeting at a junction point describing the organization hierarchy of the network, the links in communications with each other as lower-tier and higher-tier nodes; and

the single unit collectively acting as a server and correlating billing entities, data manipulation (DM), error and fraud handling, message and packet monitoring, network traffic system statistical analysis, system failure analysis, and transactions at each junction point;

wherein the junction point device having the capacity to process information to and from the unit and the virtual environment from a network of client subscriber terminals and clustered together by the world wide Internet and the network hyperlinks.

2. The computerized system as recited in claim 1, wherein each cluster for each relevant and particular transaction concurrently plot the optimal shipping trajectory provides the lowest billing rate available,

wherein the purchase order contains pricing data enabling billing to commence the moment the financial resources are made available and is initiated and continued in real time as the transaction progresses.

3. The computerized system as recited in claim 1, wherein each cluster allows each node to convert each message interacting with the system into a lingua franca, with vector trajectory information and ownership, to provide the flexibility to operate in conjunction with antiquated financial institution and supplier technologies.

4. The computerized system as recited in claim 1, wherein the simulation network searches for the best FOB prices from one of the supplier system distribution warehouses in such a manner that a customer can request out-of-stock merchandise to be made available quicker than traditional land transportation by paying air express.

5. The computerized system as recited in claim 1, wherein the system searches for the best cargo and freight (C&

F) directly from a supplier to the destination country upon giving at least one of a quote and invoice to a customer, the system calculating against the distribution of said merchandise from available inventory in-hand for any supplier system warehouses consolidated at the destination supplier system continental-regional warehouse.

6. The computerized system as recited in claim 5, wherein the system calculates the best price and delivery from origin and destination taking into account at least one of:

ocean and land transportation as the method of choice, and

express air transportation as the method of choice.

7. The computerized system as recited in claim 5, wherein the system allows each node to have the best price, quantity, and availability of all the participating warehouses, suppliers, wholesalers, and retailers by incorporating an intelligent inventory delivery algorithm.

8. The computerized system as recited in claim 5, wherein the system allows suppliers to ship their merchandise from point A to point B via ocean, wherein the system will sell the entire lot of merchandise before the merchandise reaches its destination affording the consumer significant lower shipping cost and time delays.

9. The computerized system as recited in claim 5, wherein the system facilitates a partial satisfaction of a whole purchase order by customers and multiple suppliers collectively.

10. The computerized system as recited in claim 1, wherein the system searches for the best cargo duties insurance freight (CDIF) directly from a determined supplier to the destination country upon giving at least one of a quote and invoice to a customer, the system calculating against the distribution of said merchandise from available inventory in-hand for any supplier system warehouses consolidated at a destination supplier system continental-regional warehouse.

11. The computerized system as recited in claim 10, wherein the system calculates the best price and delivery from origin and destination taking into account at least one of:

ocean and land transportation as the method of choice, and

express air transportation as the method of choice.

12. The computerized system as recited in claim 10, wherein the system allows each node to have the best price, quantity, and availability of all the participating warehouses, suppliers, wholesalers, and retailers by incorporating an intelligent inventory delivery algorithm.

13. The computerized system as recited in claim 10, wherein the system allows suppliers to ship their merchandise from point A to point B via ocean, wherein the system will sell the entire lot of merchandise before the merchandise reaches its destination affording the consumer significant lower shipping cost and time delays.

14. The computerized system as recited in claim 10, wherein the system facilitates a partial satisfaction of a whole purchase order by customers and multiple suppliers collectively.

15. The computerized system as recited in claim 10, wherein the system searches for the best cargo weight-duties insurance freight (CWIF) directly from a supplier to the destination country when giving at least one of a quote and invoice to a customer, the system calculating against the distribution of said merchandise from available inventory in-hand for any supplier system warehouse consolidated at the destination continental-regional warehouse.

16. The computerized system as recited in claim 12, wherein the system calculates the best price and delivery from origin and destination taking into account at least one of:

ocean and land transportation as the method of choice, and

express air transportation as the method of choice.

17. The computerized system as recited in claim 12, wherein the system allows each node to have the best price, quantity, and availability of all the participating warehouses, suppliers, wholesalers, and retailers by incorporating an intelligent inventory delivery algorithm.

18. The computerized system as recited in claim 12, wherein the system allows suppliers to ship their merchandise from point A to point B via ocean, wherein the system will sell the entire lot of merchandise before the merchandise reaches its destination affording the consumer significant lower shipping cost and time delays.

19. The computerized system as recited in claim 12, wherein the system facilitates a partial satisfaction of a whole purchase order by customers and multiple suppliers collectively.

20. The computerized system as recited in claim 1, wherein the system allows an end user to place rush priority to at least one of a quote and invoice order that adjusts the calculations by using Y_CDIF time-cost constraints to derive an optimal solution, which searches the best time of delivery, next flight express with door-to-door service, and possesses the lowest cost, risk and delays from origination to destination preferring to assign merchandise that is physical owned as inventory in-hand located in one of the supplier system'"'"'s warehouse.